Vision
FMCG
AnomalyClassification
Soap Scratch & Dent Inspection
Detects scratches, dents, cracks, and shape deformities on soap bars in real time — classifying defect types so only well-finished bars move forward.

Real-time
surface grading
/ The Challenge
Surface defects on soap directly hurt shelf appeal, but classification by tired eyes was inconsistent across shifts.
/ What We Deployed
AI surface models detect and classify scratches, dents, cracks, and deformities per bar, rejecting defective bars automatically.
/ The Results
- Defect types classified, not just flagged
- Shelf-quality consistency raised
- Manual inspection effort removed
More in FMCG

Vision
FMCG
Bottle Counting in Crates
Counts bottle caps inside crates and boxes automatically, ensuring the correct bottle count before packaging or distribution — short crates rejected instantly.
100% crates verified
Case study →

Vision
FMCG
Bundle / Overwrap Count Verification
Counts bottles or products inside each overwrapped bundle — short packs rejected immediately before dispatch.
0 short bundles out
Case study →

Vision
FMCG
Extreme Counting — Dense Small Objects
Counts thousands of small, densely-packed objects in a single image — for packaging and inventory verification where manual counting is impossible.
1000s per image
Case study →
/ Get Started
Have a Similar Problem?
Send us your part and inspection challenge. We'll run a free POC and show measured results — no commitment.